Elastic has announced the general availability of Elastic Cloud Serverless on Microsoft Azure, marking a significant milestone in the evolution of cloud-based search and analytics solutions. This development enables developers and enterprises to deploy powerful generative AI, search, security, and observability workloads within the Azure ecosystem without the complexities of managing underlying infrastructure.
Built upon Elastic's innovative Search AI Lake architecture, Elastic Cloud Serverless leverages Azure Blob Storage and Azure Kubernetes Service (AKS) to deliver a fully managed experience. This architecture decouples storage and compute resources, allowing for independent scaling and optimization of workloads. The result is a system that balances cost and performance effectively, even in high-demand scenarios.
Key Features of Elastic Cloud Serverless on Azure:
- Decoupled Storage and Compute: This design allows for independent scaling of workloads, optimizing both cost and performance.
- Separation of Search and Indexing: By independently scaling index and search tiers with hardware optimized for each use case, the system caters to diverse requirements.
- Low-Latency on Object Stores: Utilizing segment-level query parallelization and intelligent caching, the platform ensures low-latency search capabilities even on vast datasets.
- Fully Managed Experience: Users are relieved from operational tasks such as cluster management, capacity planning, and upgrades, allowing them to focus on application development.
- Usage-Based Pricing: The flexible pricing model ensures that customers pay only for the resources they utilize, whether it's data ingestion, storage, or compute power.
Ken Exner, Chief Product Officer at Elastic, emphasized the advantages of this offering, noting that with the fully managed Elastic Cloud Serverless on Azure, customers can unlock the full value of their data without the burden of managing infrastructure. The native integration with Azure services provides users with streamlined data workflows combined with the low-latency querying and powerful search and AI relevance capabilities of Elasticsearch.
Elastic Cloud Serverless on Microsoft Azure is currently available in the EastUS region, with plans to expand to additional Azure regions in the near future. This expansion aims to provide more organizations with the tools to build and scale AI-powered applications efficiently.
The launch of Elastic Cloud Serverless on Azure represents a significant advancement in cloud-based search and analytics, offering a scalable, efficient, and user-friendly solution for modern enterprises.
Source: The Joplin Globe Elastic Announces General Availability of Elastic Cloud Serverless on Microsoft Azure
